{"id":"https://openalex.org/W4417523918","doi":"https://doi.org/10.1109/tip.2025.3643146","title":"Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution","display_name":"Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417523918","doi":"https://doi.org/10.1109/tip.2025.3643146","pmid":"https://pubmed.ncbi.nlm.nih.gov/41411357"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3643146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3643146","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069842272","display_name":"Junbo Qiao","orcid":"https://orcid.org/0000-0003-3295-4303"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Qiao","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102650556","display_name":"Jincheng Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Liao","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643902","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-6378-7723"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Huawei Noah&#x2019;s Ark Laboratory, Huawei Technologies Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x2019;s Ark Laboratory, Huawei Technologies Ltd., Shanghai, China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074865219","display_name":"Yulun Zhang","orcid":"https://orcid.org/0000-0002-2288-5079"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulun Zhang","raw_affiliation_strings":["Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100876253","display_name":"Yong Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Yong Guo","raw_affiliation_strings":["Huawei Noah&#x2019;s Ark Laboratory, Huawei Technologies Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3444-4588","affiliations":[{"raw_affiliation_string":"Huawei Noah&#x2019;s Ark Laboratory, Huawei Technologies Ltd., Shanghai, China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiao Xie","orcid":"https://orcid.org/0000-0002-1488-2118"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiao Xie","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1488-2118","affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035602823","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-3893-1594"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["Huawei Noah&#x2019;s Ark Laboratory, Huawei Technologies Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x2019;s Ark Laboratory, Huawei Technologies Ltd., Shanghai, China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043643513","display_name":"Shaohui Lin","orcid":"https://orcid.org/0000-0003-0284-9940"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Lin","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0284-9940","affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7377,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91643522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"8461","last_page":"8473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.859000027179718,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.859000027179718,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.06340000033378601,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.020099999383091927,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6013000011444092},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4749000072479248},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.462799996137619},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4271000027656555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41940000653266907},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3517000079154968},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3418000042438507},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.34119999408721924},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.32739999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723800003528595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191999912261963},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6013000011444092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.522599995136261},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3057999908924103},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2799000144004822},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.2630999982357025},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.25049999356269836},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3643146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3643146","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:41411357","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41411357","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1525583166","display_name":null,"funder_award_id":"62572193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5437778857","display_name":null,"funder_award_id":"62102151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5996606254","display_name":null,"funder_award_id":"22511104600","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2105934661","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2192954843","https://openalex.org/W2503339013","https://openalex.org/W2741137940","https://openalex.org/W2764207251","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2947156405","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963645458","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2976718572","https://openalex.org/W3032400974","https://openalex.org/W3096739052","https://openalex.org/W3104028135","https://openalex.org/W3168997536","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3178925107","https://openalex.org/W3207918547","https://openalex.org/W4225576932","https://openalex.org/W4225672218","https://openalex.org/W4312812783","https://openalex.org/W4312914040","https://openalex.org/W4386076602","https://openalex.org/W4386076603","https://openalex.org/W4386083034","https://openalex.org/W4390604941","https://openalex.org/W4390706297","https://openalex.org/W4390872521","https://openalex.org/W4390872856","https://openalex.org/W4390872882","https://openalex.org/W4390872911","https://openalex.org/W4390873662","https://openalex.org/W4401725868","https://openalex.org/W4402727866","https://openalex.org/W4402727945","https://openalex.org/W4402904179","https://openalex.org/W4402952320","https://openalex.org/W4403421706","https://openalex.org/W4403520967","https://openalex.org/W4411406308","https://openalex.org/W4413146328","https://openalex.org/W4413146346","https://openalex.org/W4413157746"],"related_works":[],"abstract_inverted_index":{"Despite":[0],"Transformers":[1],"have":[2,42],"achieved":[3],"significant":[4],"success":[5],"in":[6,26,90],"low-level":[7,64],"vision":[8,65],"tasks,":[9],"they":[10],"are":[11],"constrained":[12],"by":[13,82,201],"computing":[14],"self-attention":[15],"with":[16,55,77,114],"a":[17,27,78,116,134,140],"quadratic":[18],"complexity":[19,54],"and":[20,52],"limited-size":[21],"windows.":[22],"This":[23],"limitation":[24],"results":[25],"lack":[28],"of":[29,74,158],"global":[30,49,135],"receptive":[31,50,136],"field":[32,51,137],"across":[33,129,160,182],"the":[34,91,112,120,130,149,155,179,188],"entire":[35,131],"image.":[36],"Recently,":[37],"State":[38],"Space":[39],"Models":[40],"(SSMs)":[41],"gained":[43],"widespread":[44],"attention":[45],"due":[46],"to":[47,57,106,143,163,187],"their":[48],"linear":[53],"respect":[56],"input":[58],"length.":[59],"However,":[60],"integrating":[61],"SSMs":[62],"into":[63],"tasks":[66],"presents":[67],"two":[68],"major":[69],"challenges:":[70],"1)":[71],"Relationship":[72],"degradation":[73],"long-range":[75,79,145],"tokens":[76],"forgetting":[80],"problem":[81],"encoding":[83],"pixel-by-pixel":[84],"high-resolution":[85],"images.":[86],"2)":[87],"Significant":[88],"redundancy":[89],"existing":[92],"multi-direction":[93],"scanning":[94,156],"strategy.":[95],"To":[96],"this":[97],"end,":[98],"we":[99],"propose":[100],"Hi-Mamba":[101,173,196],"for":[102,191,204],"image":[103,113],"super-resolution":[104],"(SR)":[105],"address":[107],"these":[108],"challenges,":[109],"which":[110],"unfolds":[111],"only":[115],"single":[117],"scan.":[118],"Specifically,":[119],"Global":[121],"Hierarchical":[122],"Mamba":[123],"Block":[124],"(GHMB)":[125],"enables":[126],"token":[127],"interactions":[128],"image,":[132],"providing":[133],"while":[138],"leveraging":[139],"multi-scale":[141],"structure":[142],"facilitate":[144],"dependency":[146],"learning.":[147],"Additionally,":[148],"Direction":[150],"Alternation":[151],"Module":[152],"(DAM)":[153],"adjusts":[154],"patterns":[157],"GHMB":[159],"different":[161,183],"layers":[162],"enhance":[164],"spatial":[165],"relationship":[166],"modeling.":[167],"Extensive":[168],"experiments":[169],"demonstrate":[170],"that":[171],"our":[172,194],"achieves":[174],"0.2-0.27dB":[175],"PSNR":[176,203],"gains":[177],"on":[178],"Urban100":[180],"dataset":[181],"scaling":[184],"factors":[185],"compared":[186],"state-of-the-art":[189],"MambaIRv2":[190],"SR.":[192,207],"Moreover,":[193],"lightweight":[195,199],"also":[197],"outperforms":[198],"SRFormer":[200],"0.39dB":[202],"$\\times":[205],"2$":[206]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-12-19T00:00:00"}
